Nothing-is-ordinary

Nothing-is-ordinary's Stars

• MMH1997/CNN-BiLSTM-network

  CNN-Bidirectional LSTM network to forecast long term traffic flow in Madrid.

  Language:HTML233

• LeapLabTHU/ACmix

  Official repository of ACmix (CVPR2022)

  Language:Python40242

• WenPengfei0823/PINN-Battery-Prognostics

  State of Health (SoH) and Remaining Useful Life (RUL) prediction for Li-ion batteries based on Physics-Informed Neural Networks (PINN).

  Language:Python16120

• stanford-oval/storm

  An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

  Language:Python13.6k1.3k

• wanzhenchn/EndNote_Tutorial_Hand_by_Hand

  手把手教你使用 EndNote X9/NoteExpress

  1.2k221

• Yixiu-Wang/data-driven-capacity-estimation-from-voltage-relaxation

  Language:Python418

• smkalami/ypea126-nsga3

  NSGA-III: Non-dominated Sorting Genetic Algorithm, the Third Version — MATLAB Implementation

  Language:MATLAB326

• sahutkarsh/NSGA-II

  Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-II), a Multi-Objective Optimization Algorithm in Python

  Language:Jupyter Notebook4414

• nasa/progpy

  The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.

  Language:Python669

• PML-UCF/pinn_wind_bearing

  Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks

  Language:Python9235

• gabrielegilardi/ANFIS

  Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization.

  Language:Python4412

• cs230-stanford/cs230-code-examples

  Code examples in pyTorch and Tensorflow for CS230

  Language:Python4k998

• wang-fujin/Explainability-driven_SOH

  Language:Python367

• BattGenie/battetl

  A module for extracting, transforming, and loading battery cycler data to a database.

  Language:Python123

• tensorspace-team/tensorspace

  Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

  Language:JavaScript5.1k444

• TommyZihao/zihao_course

  同济子豪兄的公开课

  1.6k191

• SongTang-x/SwinLSTM

  Language:Python12911

• YoZhibo/MSGNet

  MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)

  Language:Python14122

• readytensor/rt_mc_class_ebm_interpretml

  Explainable Boosting Machine (EBM) Multiclass Classifier with Shapley Explanations

  Language:Python1

• wpy1229/RULUncerty-MMMe-

  Rul prediction of lithium-ion batteries based on MMMe model，Details can be found in the paper “A MLP-Mixer and Mixture of Expert Model for Remaining Useful Life Prediction of Lithium-ion Batteries”.

  Language:Python161

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python227k25k

• konkon3249/DataAnalysisSample

  Practice of Scientific Data Analysis by Python

  Language:Jupyter Notebook2

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.5k1.1k

• Arpan-Mishra/Approaching-almost-any-Machine-Learning-Problem

  The code for the book AAML by Abhishek Thakur

  Language:Jupyter Notebook105

• microsoft/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Language:Jupyter Notebook35.1k6k

• kindle4jerry/chatgpt_academic_english

  binary-husky/chatgpt_academic but use english questions. 使用英文提问而不是中文提问，减少被chat老师抓包的风险。自用，抄作业前请谨慎参考。

  Language:Python689

• denglingyun123/Multi-strategy-improved-slime-mould-algorithm

  Language:MATLAB113

• thieu1995/mealpy

  A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

  Language:Python916188

• rg727/LSTM_DeepShap

  Language:Jupyter Notebook52

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k1.9k